Penelitian ini bertujuan untuk merancang serta mengembangkan sistem informasi akuntansi berbasis web yang digunakan untuk menghitung harga pokok penjualan (HPP) dengan pendekatan metode pesanan di PT. Jinlin Luggage Indonesia. Karena perusahaan ini menjalankan produksi berdasarkan permintaan khusus dari pelanggan, maka metode job order costing dipilih sebagai pendekatan paling relevan dalam menghitung biaya per unit.
Sistem yang dikembangkan dirancang agar mampu mencatat biaya produksi secara sistematis, tepat, dan dilakukan secara real-time. Dengan penerapan sistem ini, perusahaan dapat menghindari proses penghitungan manual yang memakan waktu dan rawan kesalahan.
Penelitian ini menggunakan pendekatan Research and Development (R&D), yang mencakup beberapa tahapan mulai dari identifikasi masalah, pengumpulan data, desain sistem, validasi, hingga pengujian. Setiap tahapan dirancang secara menyeluruh agar hasil sistem sesuai dengan kebutuhan operasional perusahaan.
Hasil implementasi menunjukkan adanya peningkatan efektivitas dan akurasi dalam pelaporan HPP, serta mendukung proses pengambilan keputusan manajerial yang berbasis data secara lebih cepat dan tepat. Selain itu, sistem ini juga meminimalkan kesalahan input secara manual dan mempercepat pembuatan laporan biaya produksi. Fitur penyimpanan data historis biaya produksi dalam sistem juga dapat dimanfaatkan untuk analisis biaya dan perencanaan anggaran jangka panjang

The development of digital technology encourages business entities to utilize e-commerce to expand their market. However, many have difficulty managing financial reports because the online sales system is not yet integrated. Ewilla Sewing, a convection business, still records finances manually and separately from online sales.  This study designs and implements an integrated e-commerce financial management accounting system to improve the accuracy, efficiency, and reliability of financial reports. The research method uses a descriptive qualitative approach with observation, interviews, and document analysis. The system was developed with a waterfall model. The results of the study show that the system is able to manage finances more efficiently, accelerate reporting, provide real-time data, support internal audits, and help make more appropriate decisions for Ewilla Sewing.

UPTD Puskesmas Subah adalah salah satu puskesmas yang ada di jajaran Dinas Kesehatan Kabupaten Batang yang selalu berkembang seiring kondisi dan dinamika masyarakat dengan upaya keras untuk menyediakan pelayanan kesehatan yang bermutu, merata dan terjangkau. Seiring perkembangan teknologi yang cepat dan informasi yang dibutuhkan sangat penting, sebab harus dapat diakses dimana saja. Salah satu fasilitas pelayanan kesehatan di UPTD Puskesmas Subah Batang menyelenggarakan pelayanan kesehatan kepada masyarakat, salah satu kegiatannya yaitu pendaftaran pasien yang berfungsi sebagai menerima kunjungan pasien untuk berobat rawat jalan. Selama ini Puskesmas Subah melakukan pelayanan pendaftaran pasien rawat jalan dilakukan bersamaan dengan pendaftaran pasien baru langsung ditempat loket, sehingga terkadang para pasien harus sabar menunggu giliran dan antri untuk mendapat pelayanan masing-masing. Solusi untuk permasalahan tersebut dengan dibuatnya sistem informasi pendaftaran pasien rawat jalan berbasis web dengan menggunakan metode hot-fit. Dengan adanya sistem ini memudahkan pasien dalam proses pendaftaran, memudahkan petugas dalam hal pencatatan dan juga sistem berbasis web memberikan informasi yang cepat dan akurat tanpa mengenal tempat dan waktu.

Capital markets play a strategic role in the global economy; however, high volatility often poses challenges for investors in making optimal investment decisions. Stock price prediction has become one of the key elements in effective portfolio management, but the complexity of market data demands more advanced analytical approaches. This study aims to explore the potential of Long Short-Term Memory (LSTM) models in predicting stock price movements and integrating these predictions into portfolio optimization strategies based on modern portfolio theory. The research methodology utilizes historical stock data from the S&P 500 and IDX Composite indices with daily frequency. The LSTM model is compared with Recurrent Neural Networks (RNN), Support Vector Machines (SVM), and Artificial Neural Networks (ANN) using metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and accuracy. The LSTM model demonstrated superior performance with an MSE of 0.0018, RMSE of 0.042, and prediction accuracy of 91.5%, significantly outperforming RNN (87.3%), SVM (80.2%), and ANN (82.7%). The prediction results were then integrated into portfolio optimization using the Mean-Variance Optimization approach, resulting in an increase in expected returns from 8.5% to 12.3%, a reduction in risk from 6.2% to 5.8%, and an improvement in the Sharpe ratio from 1.37 to 2.12. This study demonstrates that the LSTM model not only excels in stock price prediction accuracy but also contributes significantly to enhancing portfolio management efficiency. This Deep Learning-based approach offers a more adaptive, data-driven investment strategy, supporting more informed decision-making in the dynamic capital market

The Tambakrejo Village office has problems in managing village finances in recording and presenting financial reports. Currently, the Tambakrejo village office uses a manual reporting system by handwriting it in a book. Data is stored in archives which may be lost or damaged, requires a long time to search if the data is to be used or viewed again, delays in preparing village financial reports due to ineffective recording and management of financial reports.
The aim of this research is to produce a Financial Accounting Information System Using the Cash Basis Method in Tambakrejo Kendal Village to help handle the recording and processing of village financial reports to make them more effective and computerized. Design and development of an accounting information system using the PHP and CSS bootstrap programming languages, MySQL as a database, with Research and Development research methods.
The implementation of this system has been able to simplify the financial management process of the Tambakrejo Village Office so that financial reports are obtained more quickly, easily and effectively. The financial accounting information system of the Tambakrejo Kendal Village Office, the cash basis method, is useful for handling the process of recording, processing and reporting village cash finances based on proof of cash transactions when received or disbursed and is able to provide accurate information on village financial balances in the form of numbers and is equipped with digital archiving of proof of transactions.

This study explores the application of machine learning (ML) in human resource (HR) management to enhance the recruitment process by predicting high-performing candidates. The research addresses gaps in traditional recruitment methods, which are often time-consuming and susceptible to subjective bias. By employing a Random Forest algorithm, this study utilizes a dataset of 10,000 records, encompassing attributes such as education, work experience, psychometric assessments, and interview evaluations. Data were divided into 70% training and 30% testing sets to ensure robust model evaluation. The findings demonstrate that the Random Forest model achieved a prediction accuracy of 87%, outperforming traditional methods and other ML models like Logistic Regression. The model's ability to identify key attributes contributing to candidate performance underscores its potential for data-driven decision-making in HR management. However, challenges such as data bias, algorithmic transparency, and resistance to technological change were identified as barriers to implementation. This research contributes to the theoretical and practical understanding of ML in HR by offering a predictive model that balances accuracy with interpretability. Practical implications include strategies for integrating ML into existing HR systems, emphasizing the importance of explainable AI to foster trust among practitioners. The study concludes that ML-based recruitment can significantly improve efficiency, objectivity, and the quality of hiring decisions, paving the way for more innovative and strategic HR practices.

Computerized accounting is a system used to process company transaction data by using computers as a technological medium for application work processes and to produce financial reports for a company. The use and application of computer technology in office activities is a requirement and fairness that is needed, without having to eliminate manual systems. The use of computers will be able to improve employee performance in supporting activities in an agency or company. Financial management within the regional scope is the regional task and authority in organizing regional agencies which includes several sections including budgeting, income, expenditure, and accounting and accountability. The aim of this research is to design a web-based computerized accounting system for regional income and expenditure in Wates Village. And create a computerized accounting system that can assist the process of recording and storing web-based regional income and regional expenditure transaction data which produces regional income and expenditure report information. In creating a computerized system for regional income and expenditure, the software used is Sublime Texet3. Data storage uses MySQL and programming languages ??use PHP and HTML. The research results show that the computerized accounting system makes it easier for finance employees to record financial transactions. Then financial reports are produced more quickly and data errors can be minimized and more structured data is stored in the database. So this new system really helps agencies in Wates Ngaliyan Village, Semarang, where the application is equipped with a menu for input, processes and reports that process transactions, both income and expenditure.

A well-structured accounting system also provides good benefits to the management in running their business. Every business has multiple accounting systems that are linked together and work together to achieve specific goals. Inventory is a resource that can be stored to anticipate high demand from consumers. Every company, whether trading or manufacturing, always has inventory. Without optimal inventory levels, entrepreneurs run the risk that their business will eventually no longer be able to meet their needs. the desires of consumers who need or demand the products manufactured. This can happen because products are not always available, which also means entrepreneurs lose the chance to make the profits they should. Inventory in CV. Semarang Main Aircon Center does not yet have a computerized system or is still done manually. Data storage is still in the form of notes, so it is vulnerable to corruption and makes it difficult to find information about data on specific items and the number of elements in the resume. The Main Aircon Center makes it difficult to control incoming and outgoing goods when recording inventory data, as the work is only carried out by one administrative employee. Therefore, to solve this problem, it is necessary to record inventory using a computer to facilitate data processing. By using the averaging method, the company does not have to pay attention to the utilization of inventory in the warehouse. The averaging method also makes it easier to calculate costs because there is no need to pay attention to the first or last inventory, and it is easier to use.

The Dahlia Cepiring Cooperative operates in the savings and loans sector. The admin records each customer's loan in one folder, then the admin inputs the data into Microsoft Excel. The process of granting KSP Dahlia Cepiring loans is fast and easy, submitting collateral and the requirements for KTP, STNK and KK so that the amount of receivables increases greatly, which of course can create a risk of difficulties in managing and reporting receivables.
                The result of this research is the implementation of a receivables control information system at the Dahlia Cepiring cooperative to manage, control receivables and produce receivables reports using the Average Collection Period method which is able to minimize losses on receivables and speed up the movement of receivables into cash.

Every government agency or company must have a different financial plan, currently all government agencies or companies are required to make reports relating to their financial developments. This information is compiled and presented by the village government in the form of balance sheets, journal reports, because financial reports are a form of accountability from the Village Head or the Village Treasurer. one by one.
The results of this study are to make it easier for the Kutoharjo Village Office in the process of financial management, assisting in the process of inputting financial data on an accual basis when giving or receiving cash, before a cash transaction occurs which acknowledges the effect of the transaction regardless of when cash is received or paid, data search, and village fund financial reports by optimizing data security.